Power Flow Optimization of Intelligent Distribution Network with Distributed Energy Resources

With the increasing penetration of distributed energy resources in distribution network, it is necessary to strengthen the research on optimal power flow control of intelligent distribution network. Aiming at the characteristics of distributed energy resources decentralized access in intelligent distribution network, a zonal collaborative control structure of intelligent distribution network based on multi-agent system (MAS) theory is designed. An optimal power flow model of the intelligent distribution network is established, which aims at minimizing the cost of power consumers, voltage deviation and power losses. The intelligent single particle algorithm is used to optimize power flow in the intelligent distribution network. The distribution system of the intelligent distribution network laboratory is analyzed to verify the effectiveness of the model and the algorithm.